Problem
- Consistently operating at capacity
- Frequent mid-day peaks and slow mornings and evenings
- Frequent overflow in waiting rooms – long patient waiting times
- Sometimes patients would wait for hours for chairs to become available
Solution
Leadership at UCHealth deployed iQueue for Infusion Centers at one of its centers with 28 chairs and 6 private rooms to create optimized infusion scheduling templates. After realizing significant results, iQueue for Infusion Centers was deployed at 6 additional centers that collectively added 104 more chairs.
iQueue for Infusion Centers uses data science and machine learning to create optimized scheduling templates in order to continuously maximize patient flow and chair usage.
Utilization Curve Before
- Frequent “mid-day” peaks and slow mornings and evenings
- Frequent overflow in waiting rooms – long patient waiting times
Utilization Curve After
- Even workload throughout the day allows for more predictable schedules
- Unlock capacity to help deal with unexpected delays and add-ons
Results
The following results were calculated by comparing the six month period post-iQueue launch to the analogous six months in the previous calendar year.
What Our Customers are Saying
iQueue uses data science and machine learning to create optimized scheduling templates in order to continuously maximize patient flow and chair usage. The results were dramatic
Jamie Bachman – UCHealth
Former Executive Director, Oncology Services, UC Health
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